Table of contents
1. Main points
Between 19 and 30 January 2022, 36% of working adults reported having worked from home at least once in the last seven days because of the coronavirus (COVID-19) pandemic.
Almost half (46%) of these homeworkers said they spent less as a result of homeworking because of the COVID-19 pandemic. A similar proportion of homeworkers reported spending less when interviewed in November (49%).
The area where homeworkers most commonly saw spending increase was utility bills, where 86% reported their spending had risen.
Half of homeworkers (50%) reported spending less on fuel and parking for commuting, and two fifths (40%) reported spending less on commuting using public transport.
Around 9 in 10 homeworkers who live in rented housing (92%) reported increased spending on utilities, compared with 86% of those who are currently paying a mortgage and 77% of homeworkers who own their home outright.
Homeworkers with dependent children are slightly more likely to report increased spending on food (39%), utilities (89%), and internet access (27%) than those without dependent children (29%, 85% and 23%) respectively.
The percentage of people homeworking is positively correlated with the stringency of COVID-19 restrictions and negatively correlated with aggregate spending on debit and credit cards.
Further information on how we have defined homeworking in this article is laid out in Section 5.
Back to table of contents2. Homeworking and spending by characteristic
Over a third of working adults (36%) reported having worked from home at least once in the past seven days because of the coronavirus (COVID-19) pandemic, according to Opinions and Lifestyle Survey (OPN) data collected between 19 and 30 January 2022.
This proportion has increased slightly in recent weeks but is below the peak recorded from 11 – 14 June 2020, during the first lockdown, when nearly half of all workers worked from home (49%).
In the most recent OPN data (19 to 30 January 2022), nearly half (46%) of these homeworkers reported having spent less as a result of working from home because of the pandemic. In contrast, just 18% said their spending had risen, 28% that it had remained the same and 8% were unsure. The last time the OPN asked this question (3 to 14 November 2021), 49% of homeworkers reported spending less as a result of working from home because of the pandemic, and 14% reported spending more.
Figure 1: Almost half of homeworkers reported spending less as a result of homeworking more because of the coronavirus pandemic
Proportion of homeworkers who report changes in their spending on account of increased homeworking because of the coronavirus pandemic, Great Britain, 19 to 30 January 2022
Source: Office for National Statistics – Opinions and Lifestyle Survey
Notes:
- The question being asked was "Since working from home more because of the coronavirus (COVID-19) pandemic, do you feel you are spending more or less money?" The base was working adults who reported working from home in the past seven days because of the coronavirus pandemic between 19 and 30 January 2022.
Download this chart Figure 1: Almost half of homeworkers reported spending less as a result of homeworking more because of the coronavirus pandemic
Image .csv .xlsNearly half (48%) of employees who worked from home reported spending less since the pandemic, compared to around a third (32%) of those who are self-employed and worked from home.
This might be a result of self-employed workers being more likely than employees to have worked from home pre-pandemic. Nearly half of self-employed workers (49%) said they were spending the same as before the pandemic compared with 26% of employees, and self-employed workers were less likely than employees to have spent less on fuel and parking for commuting since the pandemic. However, care needs to be taken when interpreting figures on self-employed workers due to small sample sizes.
Figure 2: Nearly half of self-employed homeworkers did not see a change in spending
Proportion of homeworkers who have seen their spending change since the coronavirus pandemic, by employment status, Great Britain, 19 to 30 January 2022
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Notes:
The question being asked was "Since working from home more because of the coronavirus (COVID-19) pandemic, do you feel you are spending more or less money?" The base was adults who reported being self-employed or reported being an employee and working from home in the past seven days because of the coronavirus pandemic between 19 and 30 January 2022.
Care needs to be taken when interpreting figures on self-employed homeworkers because of small sample sizes.
Confidence intervals are presented in the reference tables.
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Homeworkers with dependent children were more likely than those without to report a change in spending. A fifth of homeworkers with dependent children (22%) reported increased spending, compared with (16%) of those without dependent children. Those with dependent children appeared more likely to report increased spending on food (39%), utilities (89%), and internet access (27%) compared to those without dependent children (29%, 85% and 23%) respectively.
A slightly higher proportion of homeworkers with dependent children also reported spending less (48%) than homeworkers without dependent children (45%). A higher percentage of those with dependent children reported reduced spending on fuel and parking for commuting (55%) and public transport for commuting (42%) compared to those without dependent children (47% and 38% respectively). No change in spending was more common amongst homeworkers without dependent children (30%) than homeworkers with dependent children (25%).
In contrast, the proportion of those with dependent children who reported spending less (48%) was slightly higher than those without dependent children (45%). Almost half of men (49%) reported spending less as a result of homeworking which is slightly higher than women (43%).
In addition to the demographic differences in spending reported above, previous analysis on which jobs can be done from home has found differences in ability to work from home across occupations and demographics, with lower earners, frontline workers, and men less likely to be able to work from home.
Back to table of contents3. Homeworking and spending by spending area
The most common areas where people who worked from home reported seeing their spending increase was utilities and internet.
More than 8 in 10 (86%) of respondents said they had spent more on utility bills since working from home because of the pandemic, similar to the 82% who reported higher spending on utility bills from 3 to 14 November 2021. This could reflect higher power and heating bills as workers spend time at home that would usually be spent in their place of work.
This may also in part reflect the rise in energy bill prices, following the rise of the Office of Gas and Electricity Markets (Ofgem) energy price cap in October 2021. Whether working from home or not, most OPN respondents reported their cost of living rising in early 2022, with energy bills a common cause of increased spending, especially for those on lower incomes.
Almost a quarter of people working from home (24%) said they spent more on internet. In March 2021, the UK telecommunications regulator Ofcom reported increased average broadband speeds compared with November 2019, as households upgraded their internet packages because of mass homeworking and learning.
In contrast, 50% of people who worked from home said they had spent less on fuel and parking for commuting since working from home because of the pandemic, and 40% said they were spending less on commuting using public transport since working from home because of the pandemic.
Very few people who worked from home reported that their spending on food stayed the same. A third (33%) said they spent more on food since working from home, and 34% said they had spent less.
It's not clear why food spending changed in opposing ways for so many homeworkers. This could reflect the amount people chose to dine out since restrictions were eased, or people making changes to their grocery shopping.
Figure 3: Homeworkers were most likely to have spent more on utilities, and less on commuting
Difference in the proportion of homeworkers who spent more and less on different areas as a result of working from home, Great Britain, 19 to 30 January 2022
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Notes:
- The question being asked was "Which, if any of these, are you spending less/more money on now that you are working from home more?" The base was working adults who reported working from home in the past seven days because of coronavirus between 19 and 30 January 2022. Respondents were able to choose more than one option.
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The vast majority of homeworkers who live in rented housing (92%) reported their spending on utilities had increased. This was 15 percentage points higher than the proportion of homeworkers who own their home outright who saw spending on utilities rise (77%). Among homeworkers who are currently paying off a mortgage, 86% said their spending on utilities had increased since the pandemic.
Compared with the period 3 – 14 November 2021, the proportion of homeworkers in rented housing who reported spending more on utilities as a result of homeworking increased by 10 percentage points (92% in January 2022 compared with 82% in November 2021). The proportion of homeworkers who reported spending more on utilities in homes they owned outright and in homes they pay a mortgage on rose by 3 percentage points and 1 percentage point, respectively.
Figure 4: Homeworkers in rented housing were more likely to report increased spending on utilities than those who own their home outright
Proportion of homeworkers spending less and more on utilities, by housing tenure, Great Britain, 19 to 30 January 2022
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Notes:
- The question being asked was "Which, if any of these, are you spending less/more money on now that you are working from home more?" The base was working adults who reported working from home in the past seven days because of the coronavirus pandemic between 19 and 30 January 2022. Respondents were able to choose more than one option.
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Back to table of contents4. The macroeconomic effect of homeworking on consumer spending
It is challenging to identify the extent to which homeworking during the pandemic has affected consumer spending, because increased numbers of people working from home has coincided with changes in other factors which affect spending, such as spikes in coronavirus (COVID-19) infection levels, retail and hospitality closures, domestic and foreign travel restrictions and various safety measures in public places.
The Oxford Covid-19 Government Response Tracker (OxCGRT) collects information on the measures that governments have taken to tackle COVID-19 and provides a Stringency Index that quantifies the strictness of policies through time. This OxCGRT Stringency Index is significantly positively correlated with the percentage of people reporting they are homeworking in the Opinions and Lifestyle Survey (OPN) and significantly negatively correlated with the Google Mobility Workplace Index. The Google Mobility Workplace Index reports movement trends over time in workplaces and provides an additional measure of homeworking.
These correlations indicate that, at times when restrictions were strict, fewer people were spending time in workplaces and more people were working from home.
Figure 5: The percentage of homeworkers is correlated with the stringency of coronavirus restrictions
Percentage of adults who report working from home, Great Britain; Oxford Stringency Index, UK, April 2020 to January 2022
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Notes:
The percentage of adults who report working from home is taken from the Opinions and Lifestyle Survey (OPN), which has been released weekly or every other week between April 2020 and January 2022.
The Oxford Stringency Index records the strictness of “lockdown style” policies that primarily restrict people’s behaviour to a value from 0 to 100 (100 = the most strict). It is calculated using all ordinal containment and closure policy indicators, plus an indicator recording public information campaigns. The Oxford Stringency Index simply records the number and strictness of government policies and should not be interpreted as “scoring” the appropriateness or effectiveness of a country’s response.
Data for weekends and bank holidays were removed from the Oxford Stringency Index to maintain consistency and allow for direct comparisons.
The Clearing House Automated Payment System (CHAPS) indicator lacks data for weekends and bank holidays.
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The Bank of England’s aggregate Clearing House Automated Payment System (CHAPS) based indicator of credit and debit card purchases is significantly negatively correlated with the percentage of people working from home and significantly positively correlated with the Google Mobility Workplace Index.
Figure 6: Spending on credit and debit cards is correlated with the number of people in workplaces
Aggregated Clearing House Automated Payment System (CHAPS) card spending index, Google Workplace Mobility Index, UK, April 2020 to January 2022
Source: Bank of England, Clearing House Automated Payment System (CHAPS) payments, Google Mobility Index.
Notes:
- The aggregate CHAPS-based index: February 2020 = 100, is a backward looking seven-day rolling average, non-seasonally adjusted.
- Google Workplace Mobility data is reported as the change in mobility, relative to a five-week base period in January to February 2020. In plotting both indices in figure 6, 100 has been added to the Google Workplace Mobility index.
- The CHAPS indicator lacks data for weekends and bank holidays.
- Data for weekends and bank holidays were also removed from the Google Workplace Mobility index to maintain consistency and allow for direct comparisons.
Download this chart Figure 6: Spending on credit and debit cards is correlated with the number of people in workplaces
Image .csv .xlsUsing only these data, it isn’t possible to establish direct causality or estimate the amount by which homeworking has contributed to reduced credit and debit card expenditure. However, these results indicates that there was less spending on credit and debit cards when fewer people were spending time in workplaces and more people were reporting working from home.
Back to table of contents5. Defining homeworking
Working adults responding to the Opinions and Lifestyle Survey were asked if they had 'worked from home in the past seven days because of the coronavirus (COVID-19) pandemic'. Between 19 and 30 January 2022, 670 respondents (36% of working adults) reported having worked from home at some point in the past seven days.
These individuals were then asked, 'since working from home more because of the COVID-19 pandemic, do you feel you are spending more or less money?' and which, if any areas, they were spending more or less money on.
Defining homeworking as 'having worked from home in the past seven days' incorporates individuals who might otherwise be classified as hybrid working into our definition of homeworking, which may increase variability in responses. However, limited sample size precludes breaking the dataset down to look at homeworking in terms of e.g. the number of days individuals have worked from home in the past seven.
Back to table of contents7. Glossary
Homeworking
In this article we have defined homeworking as any working adult who has worked at home for at least one day in the week collected between 19 January and 30 January 2022. This article focuses on the population of working adults who have worked one or more days at home in the last week.
In the Opinions and Lifestyle Survey respondents were asked: "In the past seven days, have you worked from home because of the coronavirus (COVID-19) pandemic?" This question was asked to anyone who is either a current employee, is self-employed, has done any casual work for payment or anyone who has done any unpaid or voluntary work in the last week.
OPN
The Opinions and Lifestyle Survey (OPN) is an Office for National Statistics (ONS) survey used to understand the impact of the COVID-19 pandemic on British society.
OxCGRT
The Oxford COVID-19 Government Response Tracker (OxCGRT) collects information on the measures that governments have taken to tackle COVID-19 and provides a stringency index that quantifies the strictness of policies. The stringency index is calculated using 9 indicators, 8 containment indicators and 1 health policy indicator.
CHAPS
Is an experimental real time indicator for monitoring UK spending using debit and credit cards both in-store and online. They track the daily Clearing House Automated Payment System (CHAPS) payments made by credit and debit card payment processors to around 100 major UK retail corporates, based on data supplied by the Bank of England.
Google Mobility
Google community mobility reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.
Back to table of contents8. Data sources and quality
This release contains data and indicators from a module being undertaken through the Office for National Statistics' (ONS) Opinions and Lifestyle Survey (OPN) to understand the impact of the coronavirus (COVID-19) pandemic on British society.
The survey results are weighted to be a nationally representative sample for Great Britain (based on June 2021 population estimates). Further information on the survey design and quality can be found in the Opinions and Lifestyle Survey Quality and Methodology Information.
In the period between 19 to 30 January 2022 we sampled 4,496 households. These were randomly selected from those that had previously completed the Labour Market Survey (LMS) or OPN. The responding sample contained 3,441 individuals, representing a 77% response rate.
The set of results presented in this article are based on 670 individual respondents who have identified themselves as having worked from home as a result of the COVID-19 pandemic.
This release also contains faster indicator data on UK debit and credit card spending which provides insights into economic activity using close-to-real-time big data, administrative data sources, rapid response surveys or Experimental Statistics, which represent useful economic and social concepts.
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